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1 Effects of dietary fibre type on blood pressure: A systematic review and meta-analysis of randomised controlled trials of healthy individuals Short title: fibre and blood pressure By Charlotte E.L. EVANS a , Darren C. GREENWOOD b , Diane E. THREAPLETON a , Christine L. CLEGHORN a , Camilla NYKJAER a , Charlotte E. WOODHEAD a , Christopher P. GALE b and Victoria J. BURLEY a a Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, LS2 9JT, UK b Centre for Epidemiology & Biostatistics, Level 8 Worsley Building, University of Leeds, LS2 9JT, UK Charlotte E.L. Evans Lecturer in Nutritional Epidemiology, Diane E. Threapleton Doctoral Student, Christine L. Cleghorn Research Fellow, Camilla Nykjaer Research Assistant, Charlotte E. Woodhead Research Assistant, Darren C. Greenwood Senior Lecturer in Biostatistics, Chris P. Gale Associate Professor in Cardiovascular Health Sciences and Honorary Consultant Cardiologist, Victoria J. Burley Associate Professor in Nutritional Epidemiology Conflicts of interest and Source of funding: 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

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Effects of dietary fibre type on blood pressure: A systematic review and

meta-analysis of randomised controlled trials of healthy individuals

Short title: fibre and blood pressure

By Charlotte E.L. EVANSa, Darren C. GREENWOODb , Diane E. THREAPLETONa, Christine

L. CLEGHORNa, Camilla NYKJAERa, Charlotte E. WOODHEADa, Christopher P. GALEb and

Victoria J. BURLEYa

aNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds,

LS2 9JT, UK

bCentre for Epidemiology & Biostatistics, Level 8 Worsley Building, University of Leeds, LS2

9JT, UK

Charlotte E.L. Evans Lecturer in Nutritional Epidemiology, Diane E. Threapleton Doctoral

Student, Christine L. Cleghorn Research Fellow, Camilla Nykjaer Research Assistant, Charlotte

E. Woodhead Research Assistant, Darren C. Greenwood Senior Lecturer in Biostatistics, Chris

P. Gale Associate Professor in Cardiovascular Health Sciences and Honorary Consultant

Cardiologist, Victoria J. Burley Associate Professor in Nutritional Epidemiology

Conflicts of interest and Source of funding:

No conflicts of interested were declared by any of the authors. The large systematic review of

carbohydrates and cardio-metabolic health was funded by the Department of Health for

England.

Corresponding author: Charlotte E.L. Evans

Email: [email protected]

Telephone: 0113 343 3956

Fax: 0113 343 29821

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No reprints will be made available

Word count:

Number of tables: 3

Number of figures: 5

Number of supplementary files: 4

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Abstract

Objective To determine the effect of different types of dietary fibre on systolic and diastolic

blood pressure.

Methods: A systematic review of the literature and a meta-analysis of randomised controlled

trials using random effects models. Eligibility criteria for studies included randomised

controlled trials of at least 6 weeks duration testing a fibre isolate or fibre rich diet against a

control or placebo published between 1st January 1990 and 1st December 2013.

Results 28 trials met the inclusion criteria and reported fibre intake and systolic blood pressure

(SBP) and/or diastolic blood pressure (DBP). 18 trials were included in a meta-analysis. Studies

were categorised into one of twelve fibre-type categories. The pooled estimate for all fibre types

were -0.9 mmHg (95% CI -2.5 to 0.6 mmHg), and -0.7 mmHg (95% CI -1.9 to 0.5 mmHg) for

SBP and DBP respectively. Analyses of specific fibre types concluded that diets rich in beta-

glucans reduce SBP by 2.9 mmHg (95% CI 0.9 to 4.9 mmHg) and DBP by 1.5 mmHg (95% CI

0.2 to 2.7 mmHg) for a median fibre difference of 13 g. Heterogeneity for individual fibre types

was generally low.

Conclusions Higher consumption of beta-glucan fibre found in oats and barley is associated

with lower systolic and diastolic blood pressure; however evidence for other types of fibre was

not consistent. In many countries total dietary fibre consumption is considerably lower than

recommended. Policies which increase oat and barley consumption and reduce cardiovascular

disease, through lowering blood pressure, should be encouraged.

Keywords:

Blood pressure; fibre; beta-glucans; CVD risk; systematic review; meta-analysis

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Introduction

A third of all deaths in the UK are attributed to diseases of the heart and circulatory system.[1]

Hypertension or high blood pressure is a major risk factor for stroke and myocardial

infarction[2] and is also a common cause of kidney disease. Hypertension, therefore, contributes

significantly to morbidity and mortality rates.[3] [4] It is suggested that hypertension affects up

to one quarter of the population worldwide [5] although in Western Countries up to half of the

adult population are reported to have blood pressure levels outside the desirable range.[6]

International guidelines recommend diagnostic and treatment thresholds for hypertension.[7, 8]

In addition to prescribed medications, the management of hypertension involves lifestyle

changes. These include the maintenance of a healthy weight, stopping smoking, reducing

alcohol consumption, and dietary changes such as a low salt diet rich in fruit and vegetables.[9]

The average individual effect size noted in dietary intervention trials is generally relatively

small. For example, Neter et al. suggested that for every 1 kg weight loss, systolic and diastolic

blood pressure would decrease by 1 mmHg.[10] However, these small effects, can translate into

important reductions in the incidence of hypertension at thea population level.[11] It is

estimated that each 2mmHg reduction in systolic blood pressure and 1mmHg reduction in

diastolic blood pressure is associated with a 10% reduction in the risk of CVD.[12]

Although advice on increasing fruit and vegetable consumption is included in guidance to

reduce blood pressure, advice on fibre consumption is not. Two reviews of fibre and blood

pressure were published in 2005. Although they described a significant inverse relationship

between fibre consumption and blood pressure, they did not describe the effects by fibre type.

[13] [14] Since the publication of these reviews many more studies have been conducted

exploring different fibre isolates and it is now timely to determine the effect of different types of

fibre on blood pressure. A high fibre diet, particularly if higher in soluble fibre, is associated

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with additional health outcomes; including better glucose control and lipid profile[15-17] but

less data is available on different types of fibre and their importance on blood pressure.

This review categorises fibre into twelve groups based on their chemical structure, as

recommended by Wanders et al.[18] Nine categories of fibre are isolated fibres and three are

complex mixtures of fibre rich diets. The aim of this review is therefore to determine the effects

of specific types of dietary fibre on systolic and diastolic blood pressure in a healthy population.

Methods

Selection of trials

This review is part of a large review of carbohydrates and cardio-metabolic disease which

followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses)

guidelines.[19] Human studies published in English since 1990 until December 2009 were

included in the original review and the search was updated to include studies up to 1st December

2013. The following electronic databases were searched in the original review: Medline, Pre-

Medline (MEDLINE in process), Embase, CAB Abstracts, BIOSIS, ISI Web of Science and The

Cochrane Library. The update search included Medline and Embase databases only. Electronic

searches were supplemented with hand searches in key journals and citation lists of selected

review articles. Search terms included MeSH terms for different types of fibre namely “fiber”,

“fibre”, “fibre isolate”, “beta-glucans”, and “wholegrain” as well as the MeSH term for blood

pressure. The BMJ search strategy for trials was used.[20] The protocol was agreed by all

research personnel prior to starting the review and peer-reviewed by panel members of the

Scientific Advisory Committee on Nutrition (SACN) carbohydrate working group and

Department of Health (DoH) personnel and is published on their website in a draft report.[21]

Inclusion criteria were applied which included were parallel or crossover randomised controlled

trials (RCTs) of at least 6 weeks duration where they reported a difference in fibre intake

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between an intervention group and a comparator group and measured blood pressure at baseline

and at least one other time point. There were no age or gender restrictions. Studies were

excluded if ill health or history of disease was part of the inclusion criteria for the study.

Specifically, studies in which >10% of the population were diagnosed with hypertension were

excluded. Outcomes in the full review included markers of CVD such as blood pressure, blood

lipids as well as markers of inflammation and markers of vascular function. Many outcomes

that were included in the original search criteria are not reported here.

Studies were categorised into one of twelve possible groups including three for complex fibres

and nine categories of isolated fibres. The first group includes arabinoxylan, beta-glucan and

pectin rich diets. The second group includes glucans, resistant starch, dextrins, mannans,

fructans, xylans, pectins, marine polysaccharides and chitosan. Arabinoxylan rich diets include

trials where whole grain versions of foods are included which do not increase levels of other

macronutrients in the diet such as protein. High fibre diets that solely increased fruit and

vegetable intake were excluded as these foods contain a range of compounds in addition to fibre

that may potentially affect blood pressure such as flavanols. Protein rich high fibre foods such as

beans and legumes were also excluded as these foods would be likely to result in a change in the

macro-nutrient profile of participants.

Data screening and extraction

For each reference, the title and/or abstract were screened for article relevancy using the agreed

guidelines established at the start of the review. Letters and editorials were marked as ‘not

relevant’ as were all references clearly unrelated to the scope of the review. All other articles

were marked as ‘potentially relevant’ and were reviewed independently by two members of the

review team using an agreed Inclusion/Exclusion form. Where any disagreement occurred, a

third member of the team arbitrated in the decision.

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Data on exposures, outcomes, sample size, participants, study-design and length of intervention,

were entered directly into an access database. Authors were not contacted, and only data

reported in tables (but not figures) were extracted. Data reported only in figures and not in tables

was not extracted and authors were not contacted. Data extraction was completed by one of

several members of the review team with serial review for extraction errors.

Quality assessment of trials

The review was not restricted on the basis of perceived quality of papers or the process of

obtaining data cited in primary studies. The quality of trials included in at least one meta-

analysis was assessed in duplicate using the Cochrane indicators of bias[22] and covered the

following issues: sequence generation criteria for random allocation, allocation concealment,

blinding of participants, blinding of personnel and outcome assessors, incomplete reporting of

outcome data, selective outcome reporting and other potential threats to validity. Each paper was

categorised as containing bias, no bias or being unclear based on each of the above criteria.

Statistical analysis

Data from all arms of the trial were extracted and the two arms with the largest difference in

fibre were included in the analysis. Results of the trial were included if data were provided in

one of the following two formats: a difference between the intervention and control group either

adjusted or unadjusted for baseline results or a change from baseline to follow up for each arm.

In the latter case the difference in the change between groups was calculated using a t-test to

provide the difference between groups with a measure of variation. Studies were excluded if

only a p value was provided for the difference between arms.

Where results from at least three included studies could be quantitatively combined for each

fibre type, a random effects meta-analysis of the intervention trial data was reported. A

weighted mean difference was calculated (weighted by the inverse of the variance). All the

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results of studies were expressed as the difference in systolic and diastolic blood pressure in

mmHg between study arms.

Heterogeneity was presented as the proportion of total variation in study estimates that is due to

between study heterogeneity (I2).[23] It is common to interpret I2 as being excessive where the

value is in excess of 50 to 75%; we chose to use 75% as our cut off.[24] Where values were

above this, a pooled estimate was reported but no conclusions were drawn. Small study effects

such as publication bias were assessed using a funnel plot for all trials combined and for a

specific fibre type if the number of studies exceeded ten. A broadly symmetrical funnel plot

was taken to indicate no evidence of small study effects. Meta-regression was carried out

onundertaken for factors potentially contributing to heterogeneity including gender, weight

status and dose response. Dose response was analysed for total fibre intake as well as by

individual fibre type for fibre categories with at least 3 results.

Results

Search results

Twenty eight trials were identified which met all the exclusion and inclusion criteria; 19 from

the original search and nine from the update search (see figure 1). The main reasons for

exclusion were; no blood pressure data reported, participants not healthy or not a relevant fibre.

Trial characteristics

The 28 trials were carried out in a number of different countries and therefore a range of

populations with different diets were represented (see Table 1); Nearly half of the studies were

conducted in the US (11 studies) and other countries included in the review were, Australia (3),

Denmark (2), Finland (2), Sweden (2) with one study each from Japan, Norway, Italy, New

Zealand, Germany, Israel, Netherlands and France. Most of the trials used a parallel group

design while five studies used a crossover design. The duration of the intervention ranged from

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six weeks to 14 months (see table 1). All except one study[25] included adults as participants,

with a mean age of between 29 and 60 years. Six studies included men only[25-30] and three

studies included women only.[31-33] Most trials were small and recruited between 21 and 172

participants in total with a mean of 62 participants.

Eighteen trials were included in at least one meta-analysis. Results from the remaining ten

studies were excluded for the following reasons; a lack of information on estimates of variation,

[29, 34-39] systolic and diastolic pressure not separately,[40] difference between groups was

based on molecular weight,[41] or data were only provided in a figure.[42]

The meta-analyses included a total of 1333 participants providing results for SBP and 1183

providing results for DBP. Although all the studies included generally healthy populations,

many studies included overweight or obese participants, often as part of the inclusion criteria

(see table 1). Body weight was usually reported to decrease in both arms of the trial with mean

weight loss in the control group reported as 1.6 kg and mean weight loss in the intervention

group reported as 1.8 kg. Twelve out of the eighteen studies included in the meta-analysis

reported differences in body weight change between arms ranging from 2.5 kg more weight loss

in the control group to 1.2 kg more weight loss in the intervention group. These differences

were generally modest (mean and median difference in weight loss between arms of 0.2 kg,) and

nine out of the twelve trials reported differences of less than 1 kg.

The interventions to increase fibre varied considerably in approach. Some studies used whole

foods such as wholegrain cereals and breads and others used fibre isolates which were

commonly provided as a flavoured powder added to water or incorporated into a food vehicle If

high fibre foods were used these were usually substituted with low fibre foods in the control

group. If fibre isolates were used, these were usually substituted instead of a low fibre

supplement. The information on each intervention detailed in table 1 indicates that many of the

studies were balanced in terms of energy and macronutrients for each group.[43]

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Quality of trials

The results of the quality check s are reported in table 2. No studies were excluded from the

review based on the quality check although a sensitivity analysis was carried out on the trials

which were reported to be double blind for all fibre types only and provided as supplemental

data. The quality of the trials was generally good. Unlike many trials involving dietary

manipulation many of the trials stated that they were either single or double blind. Thirteen of

the trials reported participant blinding and eleven trials reported researcher blinding. The

remaining trials either did not provide enough information or stated that there was no blinding.

Blinding was possible due to the fact that fibre supplements can be given as a drink, with the

vehicle being similar in appearance and flavour provided to the control group. Quality was

poor in other areas of assessment, particularly in terms of reporting. In many trials allocation

sequence generation and allocation concealment were not adequately reported.

All fibre types

Results included in the meta-analysis were obtained from seven out of the twelve possible

groups of fibre namely, arabinoxylan rich diets (high in wholegrain foods), beta-glucan rich

diets (high in oat and barley fibre), chitosans, mannans, pectins, xylans and alginates. There

were no trials included in the review that assessed the effects of interventions containing pectin-

rich foods, glucans, resistant starch, dextrins or fructans.

The difference in daily fibre intake for all fibre types between control and intervention groups

ranged from zero to 30g with a median difference in intake between groups of 6g for all studies.

The overall pooled results for SBP (figure 2) and DBP (figure 3) respectively for all trials,

regardless of fibre type were -0.9 mmHg (95% CI -2.5 to 0.6 mmHg, p=0.25) and -0.7 mmHg

(95% CI -1.9 to 0.5 mmHg, p=0.24) indicating that high fibre diets overall do not significantly

reduce SBP or DBP Heterogeneity was moderate at 43% (p=0.02) and 58% (p<0.01)

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respectively. The funnel plots (see figure 1 and 2, Supplementary Digital Content) indicated

little evidence of small study bias.

A number of factors were explored using meta-regression to determine whether an important

amount of heterogeneity was due to any specific characteristics of the trials (see table 3).

Baseline characteristics of participants, had no impact on heterogeneity, however dose of total

fibre was statistically significant. Each daily gram of fibre reduced SBP by 0.20 mmHg (95%

CI -0.39 to -0.02 mmHg, p=0.03) and DBP by 0.12 mmHg (95% CI -0.19 to -0.06 mmHg,

p<0.01). Trials categorised by low (0-3 g), medium (4-9 g) and high (10 or more grams) fibre

level are shown in figure 4 (SBP) and figure 5 (DBP) where a slight trend from top right to

bottom left can be identified.

The sensitivity analysis of double blind trials included eleven out of eighteen trials. The pooled

results for SBP (see figure 3, Supplemental Digital Content) and DBP (see figure 4,

Supplemental Digital Content) were -0.8 mmHg (95% CI -2.9 to 1.2 mmHg, p=0.43) and -0.5

mmHg (95% CI -2.1 to 1.0 mmHg, p=0.49) respectively providing similar but attenuated results

compared to the overall pooled estimate for all studies. Heterogeneity was higher when

compared with all studies at 60% (p<0.01) and 72% (p<0.01) respectively. Only mannans

maintained a minimum of three trials where all trials in the original analysis remained in the

sensitivity analysis.

Alginates

One trial reported the effect of a diet supplemented with alginates and therefore there were

insufficient data available to obtain a pooled estimate. Jenson et al. conducted a double blind

trial in obese participants, who received either a drink supplemented with an alginate gel

extracted from seaweed or a control drink in conjunction with a hypo-energetic diet. The

authors reported attenuated reductions in blood pressure in the intervention group despite

reporting higher weight loss in the intervention group.

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Arabinoxylan rich

Data were extracted from three RCTs reporting information on blood pressure in relation to

diets higher in dietary fibre from wholegrain food sources. Andersson et al. [44] explored blood

pressure differences in men and women consuming their usual diet with whole grain foods

(Bread, crisp bread, muesli & pasta - minimum 50% wholegrain in provided foods = 112g

wholegrain/day) or with refined grain foods (Bread, crisp bread, muesli & pasta). There was a

marked difference in fibre content between the diets, and body weight increased in both groups

possibly due to the test foods supplementing rather than substituting for usual foods. Olenzki et

al.[45] compared 3 hypoenergetic diets (high fibre, high fibre/low saturated fat and low fat).

Body weight decreased in all 3 diet groups. Kristensen et al.[33] similarly used a hypoenergetic

diet comparing a diet rich in wholewheat products with a diet high in refined wheat foods. None

of the studies reported evidence of an effect of a diet high in wholegrain foods on either systolic

or diastolic blood pressure. The pooled estimates for SBP and DBP respectively were -.1 mmHg

(95% CI -4.6 to 4.4 mmHg, p=0.97) and -0.7 mmHg (95% CI -3.7 to 2.2 mmHg, p=0.63)

indicating that wholegrain foods had no significant effect on blood pressure. Heterogeneity was

low for both SBP (0%, p=0.98) and DBP (0%, p=0.66). A meta-regression did not indicate a

significant dose response (table 3)

Beta-glucan rich

Data were extracted from five RCTs reporting on trials of supplementing diets with beta-glucans

derived from oats.[27, 43, 46-48] The trials studied the effects of whole oats, oat bran-

supplemented foods or oat-based breakfast cereals compared with similar wheat-based test

foods.

Maki et al. compared a high oat beta-glucan diet from oatmeal, ready-to-eat cereal with oat bran

and a powdered form of oat beta-glucan, which provided 8g beta-glucan per day with a control

diet (wheat-based cereal, maltodextrin powder and a low fibre hot cereal, providing 0g beta-

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glucan per day).[43] Saltzman et al. compared wheat-based breakfast cereal with oat-based

cereal.[46], He and Davy compared wheat with oats and/oat bran[27, 47] and Charlton [48]

compared a bowl of oat porridge and oat cereal bars with puffed rice and wheat bars.

The pooled estimates for beta-glucans and SBP and DBP respectively were -2.7 mmHg (95%

CI, -4.7 to -0.7 mmHg) and -1.5 mmHg (95% CI, -2.7 to -0.2 mmHg) indicating that

consumption of a high beta-glucan diets significantly reduces blood pressure. These results were

significantly different from zero for both SBP (p<0.01) and DBP (p=0.02). Heterogeneity

denoted by I2 was low for SBP (0%, p=0.65) and DBP (0%, p=0.89). A meta-regression did not

indicate a significant dose response (table 3).

Chitosan

Data were extracted from one trial with four arms which assessed the impact of 1.2 g of

microcrystalline chitosan (a product of chitin) on blood pressure and lipids of carriers and non-

carriers of the Apolipoprotein E 4 gene. Carriers were reported to have slightly higher SBP and

DBP on the higher fibre diet whereas non-carriers were reported as having a slightly lower BP

on the higher fibre diet. The limited evidence from one trial indicated that there was not enough

conclusive evidence to determine whether or not there is an association between blood pressure

and chitosan consumption.

Mannans

Data were extracted from four trials supplementing diets with mannans which include different

soluble fibres.[28, 30, 49, 50] Landin et al [28] supplemented the participant’s normal daily diet

with 3 daily drinks, each containing 10 g of guar gum and compared this with drinks containing

granulated gelling starch. Wood et al. [30] supplemented a hypo-energetic, low carbohydrate

diet with 6 capsules containing a total of 3 g of Konjac-mannan, a viscous soluble fibre that is a

constituent of Konjac root. Grube et al. [49] supplemented the diet with 3 g of a fibre complex

derived from Opuntia ficus-indica and enriched with soluble fibre or a placebo consisting of

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cellulose. Reimer et al. [50] supplemented the diet with 15 g of a complex fibre powder or

placebo mixed with yoghurt All four studies were double blind.

The pooled estimates for mannans and SBP and DBP respectively were 0.4 mmHg (95% CI, -

4.3 to 5.0 mmHg) and 1.7 mmHg (95% CI, -4.3 to7.6 mmHg) indicating that consumption of a

diet high in mannans has no significant effect on SBP or DBP . This estimate was not

significantly different from zero for SBP (p=0.88) or DBP (p=0.58). Heterogeneity denoted by

I2 was high at 81% for SBP (p<0.01) and 91% for DBP (p<0.01). A meta-regression did not

indicate a significant dose response (table 3).

Pectins

Data were extracted from two trials supplementing diets with pectins, soluble fibres originating

from the cell walls of plants. In the study conducted by Bell et al.[26], the intervention was

given to participants in the form of a fibre enriched cereal. Participants were randomised to

receive pectin-enriched cereal (11% soluble fibre) or a placebo (cornflakes). Cereals were

administered as 57g portions and were consumed as part of breakfast. There was no difference

in total fibre consumed between the intervention and control groups and blood pressure reduced

in all groups. In the study by Schwab [51], participants with impaired glucose metabolism were

provided with two drinks enriched with a daily total of 16g of sugar beet pectin or polydextrose

control. Systolic and diastolic blood pressure decreased to a larger degree in the intervention

group. As there were fewer than three trials a pooled estimate was not generated.

Xylans

Data were extracted from three RCTs reporting results of interventions involving xylans,

insoluble and soluble fibres originating from the cell walls of plants [25, 26, 31]. These were

administered in the form of fibre ‘tablets’ containing vegetable, citrus and cereal-derived

fibre[31] or psyllium [25] or as a psyllium enriched cereal.[26] Birketvedt et al reported that the

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high fibre diet participants had a lower SBP and DBP but the remaining two trials reported no

difference in blood pressure.

The pooled estimates for xylans and SBP and DBP were -1.4 mmHg (95% CI, -5.5 to 2.8

mmHg) and -0.8 mmHg (95% CI, -3.9 to2.3 mmHg indicating that consumption of a diet high in

xylans has no significant effect on blood pressure. These estimates were not significantly

different from zero for SBP (p=0.52) or DBP (p=0.61). Heterogeneity denoted by I2 was

moderate at 51% for SBP (p=0.37) and 45% for DBP (p=0.16). A meta-regression did not

identify a significant dose response (table 3).

Discussion

Summary of results

The results from this systematic review provide little evidence that an increase of total fibre

intake has an impact on blood pressure. H, however, higher doses of individual fibre types, in

particular beta-glucans, significantly reduce systolic and diastolic blood pressure in healthy

individuals. Higher total fibre was significantly associated with lower blood pressure with each

1g increase in total fibre associated with 0.2 mmHg reduction in SBP and 0.12 mmHg reduction

in DBP, however but this was largely driven by one study by Landin[28] et al which reported

dramatic substantial reductions in blood pressure with a very high doses (of 30g) of fibre.

Notably, tThe association between fibre dose and blood pressure was not significant when this

study was excluded (data not shown).

In general, the studies included in the review reported reductions in systolic and diastolic blood

pressure in both groups but larger reductions were reported from participants with a higher beta-

glucan intake. Systolic and diastolic blood pressure were 2.7 and 1.5 mmHg lower respectively

in the higher beta-glucan group. Weight loss was 0.5kg higher, on average, for participants

taking beta-glucans in the three studies where weight was reported and therefore some of the

reduction in blood pressure may, be partly, be due to weight loss. IHowever it is unlikely, 15

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however, that the improvements in blood pressure can be completely explained by weight loss

as studies involving alternative types of fibre did not result in similar benefits in blood pressure.

For the trials reporting significant blood pressure reduction due to beta-glucans, the supplement

dose provided to participants in the intervention varied from 4 g to 15 g, however, in studies

with a larger supplement, participants reduced intake of fibre from other sources and therefore

differences in soluble fibre over the whole day varied only from 4 to 7 g for studies where this

was reported. There was no evidence that the difference in the dose of beta-glucans was

important although the actual difference was not reported in all studies.

Mechanisms

The mechanisms for the effect of high beta-glucans and blood pressure are not clear. Beta-

glucans are viscous soluble polysaccharides that occur in the endosperm cell walls of grains.

They are composed of glucose molecules with mixed β-(1→4) and β-(1→3) bonds and oats and

barley are recognised as particularly rich sources. Considerable variation in the amount of beta-

glucans in oats and oat products exists which is due to varietal and processing influences.

Commercial rolled oats may contain in the region of 3 to 5% beta-glucan and oat bran between 6

to 10%.[52]. It has been suggested that viscous soluble fibres lower blood pressure due to effects

on peripheral insulin sensitivity although this is controversial[43] Various methods have shown

that higher levels of fermentable fibre in the gut are associated with improved insulin sensitivity.

[53]

It is also possible that high intakes of beta-glucans help promote weight loss and reduce blood

pressure compared to other fibre types.

Comparison with previous studies and reviews

The results from this review have some similarities with previous reviews of trials [13] [14] and

prospective studies of blood pressure and incident hypertension.[54] More detailed information

is obtained here on the effect of different types of fibre on blood pressure not previously

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reported. Streppel et al. concluded that there was some support for a larger effect of soluble

fibre on BP but did not quantify this effect and treated different types of soluble fibre altogether

in one group.[14] If beta-glucan was the most common type of soluble fibre this could have

driven the results.

Such changes in blood pressure seen here are clinically important. For example, a reduction in

diastolic blood pressure of 5 mmHg is associated with a reduction in stroke of 34% and

coronary heart disease of 21% respectively.[55] Importantly, the reduction in systolic blood

pressure of nearly 3 mmHg seen with beta-glucan rich diets is very similar to the effect of a low

salt diet in a non-hypertensive population as reported in a large review by He et al.[56] Diets

high in beta-glucans may have the potential to reduce blood pressure comparable to a sizeable

decrease in salt intake and consequently reduce CVD risk by approximately 10%.[56] Beta-

glucans also reduce LDL cholesterol - further reducing cardiovascular risk. Yet evidence from

systematic reviews of prospective studies suggests that high total fibre consumption reduces risk

of CVD.[57]

Previous research has tended to group together all soluble fibres when assessing effects on risk

markers of CVD. We found that an increase in daily intake of more than 10 g was needed in

order to see a benefit in BP for some of these other fibre types such as xylans, pectins and

mannans although there were not enough studies to formally test this hypothesis for each fibre

type. This may be because some of the studies were designed to assess the impact of dietary

fibre tablets (using quite small doses of fibre) compared to placebo tablets and the dose may

have been insufficient to detect any benefits on blood pressure over and above any differences

due to weight loss if participants were on a weight loss diet.

Although the aim of the review was to include healthy participants many of the studies included

participants who had higher than average body weight or lipid profile. It is probable that

younger healthy individuals will have an attenuated response to dietary factors such as fibre as

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was seen in a previous review of fibre and blood pressure[13] as well as in a review of dietary

salt and blood pressure.[58]

Strengths of this review

This is the first systematic review that reports on the effect of different types of fibre

distinguished by their chemical structure on blood pressure in non-diseased populations. It

included only RCTs, of at least 6 weeks in duration. More than half of the trials included in this

analysis were double blind trials and therefore of high quality. Traditionally, fibre types are

categorised as soluble or insoluble however many types of fibre contain a mixture of both and

therefore our categorisation based on chemical structure is a strength of this review. Finally, the

pooling of data enabled the detection of clinically meaningful differences in blood pressure. The

numbers needed to detect a 5 mmHg difference with sufficient power are estimated to be

between 60 and 70 participants.[59]

Limitations

The evidence presented here is most consistent and most convincing for beta-glucans where

there were sufficient trials included. There are also enough data to provide evidence for

additional fibre types including arabinoxylan rich, xylans and mannans. However there was a

lack of data to enable us to come to any conclusions about alginates, chitosan or pectins or the

five fibre types where no data were available. There may be other methods of categorising fibre

type based on rheology and molecular weight that are also important in driving change in

metabolic risk that we did not look at in this review.

Most of the studies in this review included predominantly overweight or obese participants and

the primary aim of many of the studies was weight loss. As many markers of CVD, including

blood pressure, are related to weight and weight loss, it was difficult to isolate the contribution

of the diet, independently from changes in weight. However, in many of the studies weight loss

was similar in both groups and therefore the difference between groups was relatively small.

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Although the aim of RCTs is to independently assess the contribution of fibre type on blood

pressure it is possible that other aspects of the diet were changed in addition to fibre that could

have had an impact on blood pressure. Information provided from individual studies indicated

that most studies made a reasonable attempts to maintain the macro-nutrient content of the diet.

In addition, some of the studies were double blind and used a fibre supplement which made it

less likely that other aspects of the diet could have been altered to a great extent. Additional

plant sources of fibre such as fruit, vegetables and legumes which contain large amounts of

active compounds including protein, were excluded from the analysis in order to isolate fibre.

Although included in the search strategy, the review did not include any results from children

and included only one trial recruiting adolescents and therefore the results from this review

cannot be extrapolated to younger age groups. This was part of a larger review and, therefore,

some studies were excluded that which only reported results in figures were excluded, and

without we did not contacting authors due to time constraintsfor their data.

Further recommendations

Many countries include recommended levels of total fibre as part of nutrition policy but specific

types of fibre are rarely mentioned. In the UK 18 g of NSP daily are recommended.[60] A third

of this could come from beta-glucan rich food. Beta-glucans were provided to participants in

the form of cereal (both hot and cold) as well as baked goods such as bread, muffins, biscuits

and cereal bars. An increase in the region of 5 g of beta-glucans could be achieved with a daily

bowl of porridge or oat bran cereal together with an enriched snack such as a cereal bar. The

results from this review together with the results from previous reviews on fibre and blood

lipids[61] provide strong evidence of the multiple health benefits of beta-glucans. Blood

pressure and blood lipids are both important markers of CVD and therefore encouraging a

higher intake of beta-glucan rich food has the potential to improve the risk factors for heart

disease and stroke.

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More research is needed in normal weight, healthy individuals which may necessitate larger

sample sizes and longer follow up times to improve power.

Conclusion

Beta-glucan rich foods containing oats appear to be particularly beneficial in terms of reducing

systolic and diastolic blood pressure. There was limited evidence that other fibre types also have

a beneficial effect on blood pressure even when consumed in large amounts.

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Acknowledgments

The authors thank Iris Gordon (information specialist) for developing the search strategy and

James Thomas for his work developing the database into which all articles were extracted.

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638639640641642

643

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27

Table 1: Trial characteristics

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

Andersson,

2007[44]

Sweden

27% Male

Mean age: (59)

Mean BMI: (28)

≥ 1 CHD risk factor

Crossover

6 weeks

34 Arabinoxylans

Substitution with wholegrain

foods (Bread, bread, muesli &

pasta) Minimum 50%

wholegrain in provided foods

= 112g wholegrain/day.

Intervention. g/d: C 143 P

28 F 8, Energy: 3180kJ/d,

Fibre g/d:18

Control. g/d: C 145 P 23 F

14, Energy: 3340kJ/d, Fibre

g/d:6

12 Values not

reported

Bell,

1990[26]

USA

100% Male

Age range: 24-59

Body weight >130% of

ideal

Free of chronic disease

Parallel

6 weeks

60 Pectins & Xylans

Substitution with Pectin or

psyllium enriched cereals

compared with cornflakes

50% total soluble fibre in

cereal was from pectin.

Not reported n/a 0.6 (Pectins)

0.1 (Xylans)

Birketvedt,

2000[31]

Norway

100% Female

Mean age: (40)

Double

blind

Parallel

53 Xylans

Supplementation with tablets

containing 6g of grain/citrus

Not reported Values not

reported

27

644

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28

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

Mean BMI: (28) 24 weeks fibre compared with placebo

tablets.

*Cairella,

1995[40]

(Cairella et

al., 1995)

Italy

27% Male

Mean age: (36)

BMI: (37)

Double

blind

Parallel

60 days

30 Xylans

Supplement of citrus fibre

tablets containing 6g of fibre

compared with placebo

Not reported n/a Values not

reported

Charlton.,

2011[48]

Australia

48% male

Mean age: (51)

Mean BMI: (27)

Parallel

6 weeks

90 Beta-glucans

Substitution with oat porridge

and oat based cereal bars (3g

fibre) with puffed rice and

wheat bars as control

Intervention:.%E C 46 P 20

F 29

Control:.%E C 47 P 19 F 31

n/a 0.7

Davy,

2002[27]

USA

100% Male

Mean age: (59)

Mean BMI: (29)

Parallel

12 weeks

36 Beta-glucans

Substitution with 60g oatmeal

and 76g oat bran ready-to-eat

cold cereal (14g/day of fibre,

5.5g/d beta-glucan) compared

Intervention1. g/d: C 112 P

14 F 3, Energy: 2008kJ/d,

Fibre g/d:14

Control:. g/d: C 95 P 21 F 8,

Energy: 2146kJ/d, Fibre

0 0.2

28

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29

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

DBP 85-99mm and/ or

SBP 130-159 mmHg

Fibre <30g/d

with wheat based control. g/d:14

De Bock,

2012[25]

New Zealand

100% male Age:15-16

years

Mean BMI: (26)

Crossover

Participant

blind

6 weeks

45 Xylans

Supplementation with 6g/day

psyllium supplement

compared with 6g/day of

potato starch control.

Not reported n/a Values not

reported

Grube.,

2013[49]

Germany

26% Male

Mean age: (45)

Mean BMI: (29)

Double

blind

Parallel

12 weeks

123 Mannans

Supplementation with two

tablets of IQP fibre

supplement taken 3 times per

day after meals compared

with cellulose tablet placebo.

Not reported n/a -2.5

29

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30

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

He,

2004[47]

USA

40% Male

Mean age: (48)

Mean BMI: (29)

Double

blind

Parallel

12 weeks

110 Beta-glucans

Substitution with 60g oat bran

in a muffin and 84g of

oatmeal squares cereal daily

fibre 7.7g/d compared with

refined wheat and corn

control.

Intervention:. g/d: C 113.3 P

24 F 13.7, Energy 652

kcal/d, Fibre g/d:16

Control: 2. g/d: C 108.4 P

10.8 F 11, Energy 567

kcal/d, Fibre g/d:3

13 0.7

Jensen,

2012[62]

Denmark

33% male

Mean age: (43)

Mean BMI: (34)

Parallel

Double

blind 12

weeks

80 Alginates

Supplementation with

Alginate supplement as a

blackcurrant flavoured

powder mix mixed with water

3 times per day compared

with maltodextrin control.

Intervention:.Energy

1638kcal/d

Control: .Energy 1608kcal/d

n/a 1.2

Kristense

n.,

2011[33]

Denmark

100% female (post-

Parallel 14

weeks

72 Arabinoxylans

Substitution with 105g

wholegrain foods daily

Intervention: Energy 2MJ C

87g/d P 17g/d F 7g/d fibre

6 0.9

30

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31

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

menopausal)

Mean age: (60)

Mean BMI: (30)

compared with low fibre

cereal foods.

11 g/d

Control: Energy 2MJ C 86

g/d P 16g/d F 7g/d Fibre

5g/d

Landin,

1992[28]

Sweden

100% Male

Mean age: (52)

Mean BMI: (25)

Double

blind

Crossover

6 weeks

25 Mannans

Supplementation with 10g

guar given in a glass of water,

3 times a day before meals

compared with starch

placebo.

Intervention:. g/d: C 445 P

14 F 92, Energy 2875 kcal/d

Control: g/d: C 445 P 14 F

92, Energy 2875 kcal/d

n/a Values not

reported

Lehtimaki,

2005[63]

Finland

42% Male

Mean age: (44)

Mean BMI: (26)

Stratified by

apolipoprotein E

Double

blind

Crossover

3 months

130 Chistosan

Supplementation with 1.2 g

chitosan twice daily (total

2.4g/d) compared with starch

capsules.

Not reported n/a 0 (carrier)

0.2 (non

carrier)

31

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32

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

genotype

Maki,

2007[43]

USA

55% Male

Age: >40

BMI: (32) SBP 130-

179mmHg DBP 85-

109mmHg

Fibre <20g/d

Parallel 12

weeks

97 Beta-glucans

Substitution with 90g/d oat

bran cereal + 60g/d oatmeal +

20g/d powdered oat beta-

glucan. 7.7g/d beta-glucan

compared with wheat cereal

and low fibre supplements.

Intervention:. g/d: C 124.3 P

20.3 F 8.9, Energy: 658

kcal/d, Fibre g/d:17

Control: g/d: C 139.5 P 10 F

2.1Energy: 641 kcal/d, Fibre

g/d:2

15 Values not

reported

*Marett,

2004[35]

USA

52% Male

Mean age: (29)

BMI: mean not reported

Double

blind

Parallel 6

months

54 Arabinoxylans

Supplementation with 8.4g/d

Larch or Tamarack

arabinogalactan added to food

or drinks compared with rice

starch placebo.

Not reported n/a Values not

reported

*Niv,

2012[38]

Israel

48% male

Parallel

8 weeks

48 Fructans

Supplementation with 500ml

Orange juice daily containing

Not reported n/a Values not

reported

32

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33

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

Mean age: (36)

Mean BMI: (25)

11.5g Levan fibre compared

with orange juice control.

Olendzki,

2009[45]

USA

16% Male

Mean Age: (48)

Mean BMI: (31)

Parallel

3 months

31 Arabinoxylans

Substitution increasing fibre

to 30g/day compared with

low fibre control. Both diets

low in saturated fat.

Intervention: %E: C 52.1 P

F 26.2, Energy: 1511 kcal/d,

Fibre g/d:24

Control: %E: C 49.9 P F

27.5, Energy: 1523 kcal/d,

Fibre g/d:17

7 -1.4

*Pal,

2012[42]

Australia

51% Male

Age 18-65

BMI 25-40

Participant

blind

Parallel

12 weeks

72 Xylans

Supplementation with fibre

supplement containing 7g of

psyllium mixed with water

and taken 3 times per day

compared with low fibre

control.

Intervention: Energy 7.8MJ,

C 46%, P 19%, F 34%, fibre

40g/d

Control: Energy 8.2MJ, C

45%, P 18%, F 37%, fibre

20g/d

20 Values not

reported

*Pasman, The Netherlands

100% female

Double

blind

39 Mannans Not reported n/a Values not

33

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34

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

1997[32] Mean age: (41)

Mean BMI: (33)

Parallel

14 months

Supplementation with 20g

guar gum in 2x10g doses

daily to be consumed in

afternoon and evening.

Dissolved in 200ml

water/coffee/orange juice

compared with no

supplement..

reported

Reimer,

2013[50]

Japan

44% Male

Age 20-65

Mean BMI: (27)

Double

blind

Parallel

14 weeks

64 Mannans

Supplementation PGX

supplement containing fibre

in 5g packets mixed with

yoghurt taken 3 times per day

compared with placebo

containing rice flour in 5g

packets mixed with yoghurt.

Not reported n/a 0

*Rigaud, France Double 52 Pectins Not reported n/a Values not

34

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35

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

1990[36] 21% Male

Mean age: (37)

Mean BMI: (29)

blind

Parallel

6 months

Supplementation with a

dietary fibre tablets (beet,

barley, citrus fibre, 90%

insoluble) providing 7g/day

compared with placebo tablets

containing 1g fibre/d.

reported

*Salinardi,

2010[39]

USA

36% male

Mean age : (46)

Mean BMI: (30)

Double

blind

Parallel

12 weeks

69 Mannans

Supplementation with

beverage twice daily with

meals containing 4.4g of fibre

per drink compared to

placebo beverage twice daily

with meals containing no

fibre.

Not reported n/a Values not

reported

Saltzman,

2001[46]

USA

49% Male

Mean age: (45)

Parallel

6 weeks

43 Beta-glucans

Substitution with 45g/1000

kcal of rolled oats compared

Intervention: g/d: C 229 P

79 F 67, Energy: 7645kJ/d,

3 Values not

reported

35

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36

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

Mean BMI: (26) to 45g/1000 kcal of wheat

products.

Fibre g/d:16

Control: g/d: C 234 P 82 F

69, Energy: 7833kJ/d, Fibre

g/d:12.5

Schwab,

2006[51]

Finland

44% Male

Mean age: (53)

Mean BMI: (29)

Double

blind

Parallel

12 weeks

70 Pectins

Supplementation with Sugar-

beet pectin, drinks.

400ml/day, containing 16g

pectin, of which 76% soluble

fibre compared to

polydextrose control.

Not reported n/a 0.6

*Sciarrone,

1993[29]

Australia

100% Male

Mean age: (41)

Mean BMI: (26)

Normal BP only

Parallel

6 weeks

21 Arabinoxylan rich

Substitution with 35% total

energy complex

carbohydrates, 20% sugar +

fibre intake of approx

20g/1000kcal compared to

Intervention: g/d: C 339 P

78 F 86, Energy: 2437

kcal/d

Fibre g/d:41

Control: g/d: C 314 P 100 F

114, Energy: 2658 kcal/d,

17 Values not

reported

36

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37

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

25% total energy complex

carbohydrates, 20% sugar +

fibre intake <8g/1000kcal.

Fibre g/d:24

*Smith,

2008[41]

USA

29% Male

Age 22-66y

BMI <30

Double

blind

Parallel

6 weeks

90 B Glucans

Supplementation with 6g high

molecular weight beta-glucan

per day was given as a dietary

supplement powder,

consumed as a beverage with

morning and evening meals

compared to low molecular

weight beta-glucan.

Not reported n/a 0.7

*Swain,

1990[37]

USA

20% Male

Mean age: 30

BMI: not reported

Double

blind

Crossover

6 weeks

24 Beta-glucans

Supplementation with oat

enriched muffins or entrees

containing a total of 100g oat

bran/d compared to low fibre

Intervention: %E: Fat 35,

2429 kcal, fibre 39g/d

Control: %E: Fat 30, 2315

21 -0.1

37

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38

First

Author,

year

Characteristics of

participants

Design &

length of f/u

N of

partici-

pants

Intervention design Diet characteristics

Differenc

e in fibre

(g)

Difference

in weight

loss in kg1

wheat based foods. kcal, fibre 18g/d

Wood,

2007[30]

USA

100% Male

Mean age: 39

Mean BMI: 30

SBP <160mmHg DBP

<90mmHg

Double

blind

Parallel

12 weeks

30 Mannans

Supplementation with 3g/d

Konjac-mannan compared to

maltodextrin placebo

supplement.

Intervention: %E: C 12.5 P

28.4 F 60.7, Energy:

6866kJ/d, Fibre g/d:13

Control: %E: C 13.3 P 27.1

F 59.6, Energy: 7017kJ/d,

Fibre g/d:10

3 -0.1

Abbreviations: GI=glycaemic Index

GL=glycaemic load

%E= percent energy

g/d=grams per day

C =carbohydrate

P=protein

F=fat

*Not included in meta-analysis

1Weight loss of control group-weight loss of intervention group (positive value indicates higher weight loss or less weight gain in intervention group)

38

645

646

647

648

649

650

651

652

653

654

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39

Table 2: Assessment of bias for trials included in the meta-analysis

First author, year

Allocation

sequence

generatio

n

Allocati

on

conceal

ment

Partici

pant

blindin

g

Resear

cher

Blindin

g

Incompl

ete

outcom

e

reportin

g

Selectiv

e

outcom

e

reportin

g

Any

other

bias

Andersson, 2007 Unclear Unclear Bias Bias No Bias No Bias No Bias

Bell, 1990 Unclear Unclear No

Bias

No

Bias

No Bias No Bias No Bias

Birketvedt, 2000 Unclear Unclear No

Bias

No

Bias

No Bias No Bias No Bias

Charlton, 2012 No bias No bias No

Bias

Bias No bias No bias Unclear

Davy, 2002 Unclear Unclear Bias No

Bias

No Bias No Bias No Bias

39

655

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40

First author, year

Allocation

sequence

generatio

n

Allocati

on

conceal

ment

Partici

pant

blindin

g

Resear

cher

Blindin

g

Incompl

ete

outcom

e

reportin

g

Selectiv

e

outcom

e

reportin

g

Any

other

bias

De Bock, 2012 No bias Unclear No

bias

Bias No bias No bias No bias

Grube, 2013 No bias No bias No

bias

No

bias

No bias No bias No bias

He, 2004 Unclear No Bias No

Bias

No

Bias

No Bias No Bias No Bias

Jensen, 2012 No bias No bias No

bias

No

bias

No bias No bias Unclear

Kristensen, 2011 Unclear Unclear Bias Bias No bias No bias Unclear

Landin, 1992 Unclear Unclear No No No Bias No Bias No Bias

40

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41

First author, year

Allocation

sequence

generatio

n

Allocati

on

conceal

ment

Partici

pant

blindin

g

Resear

cher

Blindin

g

Incompl

ete

outcom

e

reportin

g

Selectiv

e

outcom

e

reportin

g

Any

other

bias

Bias Bias

Lehtimaki, 2005 No Bias No Bias No

Bias

No

Bias

No Bias No Bias No Bias

Maki, 2007 Unclear Unclear No

Bias

No

Bias

Bias No Bias No Bias

Olendzki, 2009 No Bias Unclear Bias Bias Bias Unclear Unclear

Reimer, 2013 Unclear Unclear No

bias

No

bias

No Bias No bias Unclear

Saltzman, 2001 No Bias Unclear Unclea

r

Unclea

r

Bias No Bias No Bias

41

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42

First author, year

Allocation

sequence

generatio

n

Allocati

on

conceal

ment

Partici

pant

blindin

g

Resear

cher

Blindin

g

Incompl

ete

outcom

e

reportin

g

Selectiv

e

outcom

e

reportin

g

Any

other

bias

Schwab, 2006 Unclear Unclear No

Bias

No

Bias

Unclear No Bias No Bias

Wood, 2007 No Bias Unclear No Bias No Bias No Bias No Bias No Bias

42

656

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43

Table 3: Meta-regression and subgroup analysis using random effects model indicating

change in blood pressure in mmHg for each higher unit of variable

VariableOutcome No.

studies

Coefficient

(mmHg/unit)*

95% CI

(mmHg/unit)p value

Residual I2 (%)

Mean age at baseline (years) SBP

DBP

17

15

-0.05

-0.05

-.24 to 0 .13

-0.18 to -0.07

0.54

0.38

43

54

BMI at baseline (kg/m2) SBP

DBP

18

16

0.49

0.14

-0.22 to-1.20

-.42 to 0.69

0.17

0.61

39

56

Fibre dose for all fibre types

(g)

SBP

DBP

20

18

-0.20

-0.12

-.39 to -.02

-.19 to -.06

0.03

<0.01

25

20

Fibre dose for beta-glucans (g) SBP

DBP

5

4

0.05

-0.07

-0.76 to 0.86

-0.85 to 0.71

0.85

0.74

0

0

Fibre dose for Arabinoxylan

rich (g)

SBP

DBP

3

3

-0.19

0.23

-12.98 to 12.61

-6.12 to 6.57

0.88

0.73

0

0

Fibre dose for Mannans (g) SBP

DBP

4

3

-0.29

-0.36

-1.13 to 0.55

-1.34 to 0.61

0.28

0.13

74

0

Fibre dose for Xylans (g) SBP

DBP

3

3

-0.57

-0.43

-4.13 to 3.00

-3.34 to 2.47

0.29

0.31

0

0

Baseline difference between

groups (mmHg)

SBP

DBP

15

14

-0.29

0.08

-1.08 to 0.50

-.82 to 0.97

0.44

0.86

29

34

Difference in weight change

between groups (kg)

SBP

DBP

14

12

0.09

-1.65

-1.51 to 1.68

-5.66 to 2.37

0.91

0.38

23

38

43

657

658

659

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44

Captions

Figure 1: PRISMA flow chart of included references

Figure 2: Systolic blood pressure and fibre type for all trials

Figure 3: Diastolic blood pressure and fibre type for all trials

Figure 4: Pooled estimates of systolic blood pressure for fibre categorised into low, medium

and high dose

Figure 5: Pooled estimates of diastolic blood pressure for fibre categorised into low, medium

and high dose

Supplemental Digital Content figure 1: Funnel plot for all trials of any fibre type reporting

systolic blood pressure. Estimate is in mmHg.

Supplemental Digital Content figure 2: Funnel plot for all trials of any fibre type reporting

diastolic blood pressure. Estimate is in mmHg.

Supplemental Digital Content figure 3: Pooled estimates of systolic blood pressure for double

blind fibre trials only

Supplemental Digital Content figure 4: Pooled estimates of diastolic blood pressure for

double blind fibre trials only

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Contributors

VJB was the project lead for the main systematic review concerning dietary carbohydrates

and cardio-metabolic health. VJB, DET, CLC searched databases. CPG helped develop

search strategies. Article screening was undertaken by VJB, DET, CLC, CELE and CN. Data

extraction was carried out by VJB, DET, DCG, CLC, CELE and CN. Quality of data

extraction and checking was carried out by DET, CN, CLC and CEW. Statistical analysis was

undertaken by CELE and overseen by DCG. CELE wrote the first draft of the manuscript. All

authors reviewed the manuscript and contributed to manuscript revisions.

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